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LazFormer: Scaling Transformers for Industrial Recommendation via Transferable Generative Pre-training

Li, Xiaodong et al.
arXiv (OAI Expanded) · Papers
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information-retrieval
Transformers have shown promising performance in LLMs due to their outstanding scalability, several studies have investigated the scalability of Transformers for industrial recommendation. They typically rely on a single ranking model to optimize both sparse and dense parameters from scratch, result
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